

# CUDA_VISIBLE_DEVICES=0  python train_denoising.py --config "all_light.yml" --training_name=fog 

# CUDA_VISIBLE_DEVICES=0  python train_denoising.py --config "all_light.yml" --training_name=rain 
# CUDA_VISIBLE_DEVICES=0  python train_denoising.py --config "all_light.yml" --training_name=snow11k 

# CUDA_VISIBLE_DEVICES=0  python train_denoising.py --config "all_light.yml" --training_name=lol_blur_noise 



# CUDA_VISIBLE_DEVICES=2  python train_denoising.py --config "all_light.yml" --training_name=raindrop 
# CUDA_VISIBLE_DEVICES=3  python train_denoising.py --config "all_light.yml" --training_name=haze 

# conda activate mirnet
#修改了yml和trainin.py
#train: 用  https://gitee.com/KatherinePavlovna/MIRNet_baseline.git  这个去train  (本文的有点问题)

#test: 用本文的去test   (metric直接包含在test里面 并保存在 test_results_metrics/{dataset_name}.txt)

# CUDA_VISIBLE_DEVICES=0 python test_enhancement.py --result_dir "results/raindrop/epoch4" --config "all_light.yml" --weights "checkpoints/raindrop/model_epoch_4.pth" --test_name raindrop --save_images 
# CUDA_VISIBLE_DEVICES=1 python test_enhancement.py --result_dir "results/haze/epoch4" --config "all_light.yml" --weights "checkpoints/haze/model_epoch_4.pth" --test_name haze --save_images 
# CUDA_VISIBLE_DEVICES=2 python test_enhancement.py --result_dir "results/fog/epoch4" --config "all_light.yml" --weights "checkpoints/fog/model_epoch_4.pth" --test_name fog --save_images 

# CUDA_VISIBLE_DEVICES=3 python test_enhancement.py --result_dir "results/rain/epoch4" --config "all_light.yml" --weights "checkpoints/rain/model_epoch_4.pth" --test_name rain --save_images 
# CUDA_VISIBLE_DEVICES=4 python test_enhancement.py --result_dir "results/snow11k/epoch4" --config "all_light.yml" --weights "checkpoints/snow11k/model_epoch_4.pth" --test_name snow11k --save_images 



# CUDA_VISIBLE_DEVICES=0 python test_enhancement.py --result_dir "results/raindrop/model_best" --config "all_light.yml" --weights "checkpoints/raindrop/model_best.pth" --test_name raindrop --save_images 
# CUDA_VISIBLE_DEVICES=0 python test_enhancement.py --result_dir "results/haze/model_best" --config "all_light.yml" --weights "checkpoints/haze/model_best.pth" --test_name haze --save_images 
# CUDA_VISIBLE_DEVICES=4 python test_enhancement.py --result_dir "results/fog/model_best" --config "all_light.yml" --weights "checkpoints/fog/model_best.pth" --test_name fog --save_images 